@CONFERENCE\{IMM2012-06470,
    author       = "C. Stahlhut and H. T. Attias and A. Stopczynski and M. K. Petersen and J. E. Larsen and L. K. Hansen",
    title        = "An Evaluation of {EEG} Scanner’s Dependence on the Imaging Technique, Forward Model Computation Method, and Array Dimensionality",
    year         = "2012",
    booktitle    = "34th Annual International Conference of the {IEEE} Engineering in Medicine and Biology Society (EMBC), San Diego, {CA}",
    volume       = "",
    series       = "",
    editor       = "",
    publisher    = "IEEE",
    organization = "",
    address      = "",
    url          = "http://www2.compute.dtu.dk/pubdb/pubs/6470-full.html",
    abstract     = "{EEG} source reconstruction involves solving an inverse problem that is highly ill-posed and dependent on a generally fixed forward propagation model. In this contribution we compare a low and high density {EEG} setup’s dependence on correct forward modeling. Specifically, we examine how different forward models affect the source estimates obtained using four inverse solvers Minimum-Norm, {LORETA,} Minimum-Variance Adaptive Beamformer, and Sparse Bayesian Learning."
}